Course
IND4216266
INTRODUCTION to FUZZY LOGIC and MODELING
Industrial Engineering
- LECTURE
- 3
- LAB
- 0
- CREDITS
- 3
- ECTS
- 6
REQUIRES
REQUIRED BY
None
TAUGHT IN
AIM
The main purpose of this course is to introduce students to the basic areas of fuzzy set theory and fuzzy logic, to provide them with the skills to express and reason many uncertainties that may arise in real-world applications of any decision-making process, and to enable students to apply these skills to engineering problems.
CONTENT
This course contains; Introduction to Fuzzy Logic,Fuzzy Logic Concept and Uncertainty,Fuzzy Sets,Fuzzy Set Operations,Fuzzy Set Relations,Defuzzification of Fuzzy Sets,Membership Functions and Fuzzy Arithmetic,Midterm Exam,Fuzzy Inference System - Mamdani/ Sugeno/ Tsukamato Functions,Fuzzy Multi Criteria Decision-Making,Fuzzy Multi Criteria Decision-Making,Fuzzy Mathematical Modelling - Linear Programming,Fuzzy Mathematical Modelling - Goal Programming,Project Presentations,Final Exam.
LEARNING OUTCOMES
- 1
1. Students can use the knowledge they have gained to apply basic modeling and decision-making techniques in engineering.
Taught by: Mastery Learning, Problem Solving Method, Self Study Method · Assessed by: Traditional Written Exam, Homework, Project Task
- 2
2. They know the fuzzy logic applications in different fields through analysis operations on fuzzy sets.
Taught by: Case Study Method, Computer-Internet Supported Instruction · Assessed by: Homework, Project Task, Simulation-Based Evaluation
- 3
3. They know the fuzzy logic applications using Python programming language and MS Excel.
Taught by: Demonstration Method, Simulation Technique, Computer-Internet Supported Instruction · Assessed by: Homework, Performance Task
- 4
4. They can evaluate real-life problems analytically.
Taught by: Mastery Learning, Problem Solving Method, Self Study Method · Assessed by: Traditional Written Exam
- 5
5. They can obtain more realistic results in the evaluation of events.
Taught by: Project Based Learning Model, Problem Baded Learning Model, Inquiry-Based Learning · Assessed by: Homework, Project Task
WEEKLY PLAN
- WEEK 1
Introduction to Fuzzy Logic
Preparation: Text Book - Chapter 1 and Lecture Notes
- WEEK 2
Fuzzy Logic Concept and Uncertainty
Preparation: Text Book - Chapter 1 and Lecture Notes
- WEEK 3
Fuzzy Sets
Preparation: Text Book - Chapter 2 and Lecture Notes
- WEEK 4
Fuzzy Set Operations
Preparation: Text Book - Chapter 2 and Lecture Notes
- WEEK 5
Fuzzy Set Relations
Preparation: Text Book - Chapter 3 and Lecture Notes
- WEEK 6
Defuzzification of Fuzzy Sets
Preparation: Text Book - Chapter 4 and Lecture Notes
- WEEK 7
Membership Functions and Fuzzy Arithmetic
Preparation: Text Book - Chapter 4 and Lecture Notes
- WEEK 8
Midterm Exam
Preparation: Text Book, Lecture Notes, Assignments and Quizzes
- WEEK 9
Fuzzy Inference System - Mamdani/ Sugeno/ Tsukamato Functions
Preparation: Text Book - Chapter 5 and Lecture Notes
- WEEK 10
Fuzzy Multi Criteria Decision-Making
Preparation: Supplementary Book - p. 360 - 400 and Lecture Notes
- WEEK 11
Fuzzy Multi Criteria Decision-Making
Preparation: Lecture Notes
- WEEK 12
Fuzzy Mathematical Modelling - Linear Programming
Preparation: Supplementary Book - p. 455 - 472 and Lecture Notes
- WEEK 13
Fuzzy Mathematical Modelling - Goal Programming
Preparation: Supplementary Book - p. 503 - 513 and Lecture Notes
- WEEK 14
Project Presentations
Preparation: Text Book, Supplementary Book and Lecture Notes
- WEEK 15
Final Exam
Preparation: Text Book, Lecture Notes, Assignments and Quizzes
ASSESSMENT
- Rate of Midterm Exam to Success30%
- Rate of Final Exam to Success70%
WORKLOAD
| ACTIVITY | COUNT | HOURS | TOTAL |
|---|---|---|---|
| Course Hours | 14 | 3 | 42 |
| Guided Problem Solving | 14 | 2 | 28 |
| Resolution of Homework Problems and Submission as a Report | 5 | 4 | 20 |
| Term Project | 0 | 0 | 0 |
| Presentation of Project / Seminar | 1 | 10 | 10 |
| Quiz | 8 | 8 | 64 |
| Midterm Exam | 1 | 8 | 8 |
| General Exam | 1 | 8 | 8 |
| Performance Task, Maintenance Plan | 0 | 0 | 0 |
READING
- Text Book: Fuzzy Logic with Engineering Applications, 4th Edition, Timothy J. Ross ISBN: 978-1-119-23584-2, September 2016.
- Supplementary Book: Decision making with spherical fuzzy sets, Studies in fuzziness and soft computing, 392, pp.3-25,Kahraman, C. and Gündogdu, F.K., 2021.
TEACHING STAFF
- Assist.Prof. Rüçhan Melisa DENİZ ÖZGENCOORDINATOR
- Assist.Prof. Rüçhan Melisa DENİZ ÖZGEN